Task 1: Setting up the sample

You build and deploy two machine learning models in Watson Studio. Then, you import a sample decision service into Decision Designer and connect it to the deployed models.
  1. Follow the instructions available in AutoAI tutorial: Build a Binary Classification Model to create two AutoAI experiments using the following datasets:
    • customer_churn_data.csv: In Configuration details, select No for the option to create a Time Series Forecast. Then, choose CHURN as the column to predict.
    • customer_LTV_data.csv: In Configuration details, select No for the option to create a Time Series Forecast. Then, choose LTV as the column to predict.
  2. When the pipeline generation process completes, save one pipeline as a model from the resulting candidates.
  3. Deploy the saved model following the instructions available in Task 1: Creating an empty deployment space in Watson Studio.
  4. Import the Machine learning sample - Customer loyalty sample decision service into Decision Designer:
    1. Sign in to Decision Intelligence Client Managed Software using your instance credentials.
    2. Create a decision automation.
    3. Click New decision +.
    4. Click Discovery tutorials and select Machine learning sample - Customer loyalty. Then, click Import.
  5. Open the Telco Retention decision service. It includes:
    • Retention Offer: A decision model that recommends the best retention offer to prevent churn.
    • Customer Lifetime Value: A predictive model that estimates customer lifetime value.
    • Customer Churn: A predictive model that predicts customer churn risk.
  6. Follow the instructions available in Step 2: Defining a machine learning provider to create a machine learning provider.
  7. Follow the instructions available in Task 3: Uploading a PMML file and connecting a predictive model to:
    • Connect the Customer Churn predictive model to the model deployed using customer_churn_data.csv.
    • Connect the Customer Lifetime Value predictive model to the model deployed using customer LTV data.csv